Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Pharmacol Res. 2019 Sep;147:104365. doi: 10.1016/j.phrs.2019.104365. Epub 2019 Jul 23.
Herbs are typically prescribed in traditional Chinese medicine (TCM) to treat complex diseases. The multicomponent nature of herbal drug ingredients makes it difficult to readily understand their mode of action. To decipher their molecular mechanisms, here we proposed a novel computational systems pharmacology based approach, which consisted of transcriptome profiling, data collection, statistical analysis, network algorithm, bioinformatics analysis and pharmacological validation. The network algorithm called signed random walk with restart (SRWR) was used to simulate the propagation of drugs' effects on networks. This algorithm could identify proteins either positively or negatively regulated (activated or inhibited) by drugs on human signaling networks. To establish proof of principle, the herbal product Deng-Zhan-Xi-Xin injection (DZXXI), which exhibits pharmacological effects in ischemic stroke but its mechanism was unclear, was analyzed. Eighty-three targets were predicted with high confidence for DZXXI's active compounds in plasma, and 87 differentially expressed genes (DEGs) were identified in MCF7 cells treated with DZXXI. These target genes were further found to be associated with pathways involved in neuronal apoptosis in ischemic stroke, such as NF-κB signaling, TNF signaling, and PI3K-Akt signaling. Intersection analysis between DZXXI's putative targets with ischemic stroke-associated genes identified two important targets (PTGS1, PTGS2) corresponding to four DZXXI compounds, which were further validated using in silico and in vitro/vivo models. The most inhibited genes identified by the SRWR algorithm were significantly enriched with ischemic stroke-associated disease genes, antiplatelet associated pathways, and their encoded proteins were enriched in brain, vascular endothelium and platelets. The CMAP analysis based on DEGs suggested that DZXXI could function as both an anti-inflammatory and anti-platelet agent. Taken together, the computational analysis suggested that DZXXI exhibited anti-platelet and neuroprotective effects in the treatment of ischemic stroke. These deductions were preliminarily confirmed by subsequent in vitro/vivo studies. This approach provides a systems perspective to study the relevance between herbal drugs and disease processes, and can reveal possible pharmacological effects of multiple ingredients within herbal product.
草药通常在中医(TCM)中被开处方用于治疗复杂疾病。草药药物成分的多组分性质使得其作用模式难以轻易理解。为了解读它们的分子机制,我们在这里提出了一种新的基于计算系统药理学的方法,该方法包括转录组谱分析、数据收集、统计分析、网络算法、生物信息学分析和药理学验证。所使用的网络算法称为带重新启动的有符号随机游走(SRWR),用于模拟药物对网络的影响的传播。该算法可以识别出药物对人类信号网络正向或负向调节(激活或抑制)的蛋白质。为了建立原理验证,我们分析了一种草药产品——灯盏细辛注射液(DZXXI),它在缺血性中风中表现出药理作用但其机制尚不清楚。对于 DZXXI 的血浆中活性化合物,预测出了 83 个高可信度的靶点,并且在 DZXXI 处理的 MCF7 细胞中鉴定出 87 个差异表达基因(DEG)。这些靶基因进一步发现与神经元凋亡相关的途径有关,如 NF-κB 信号、TNF 信号和 PI3K-Akt 信号。DZXXI 的假定靶基因与缺血性中风相关基因的交集分析确定了两个重要的靶基因(PTGS1、PTGS2),它们对应于四种 DZXXI 化合物,这些化合物进一步通过体内和体外/体内模型进行了验证。SRWR 算法识别出的最受抑制的基因与缺血性中风相关疾病基因、抗血小板相关途径显著富集,其编码的蛋白质在大脑、血管内皮和血小板中富集。基于 DEG 的 CMAP 分析表明,DZXXI 可以作为抗炎和抗血小板药物发挥作用。总的来说,计算分析表明 DZXXI 在治疗缺血性中风中表现出抗血小板和神经保护作用。这些推论随后通过体外/体内研究得到了初步证实。这种方法为研究草药药物与疾病过程之间的相关性提供了系统的视角,并可以揭示草药产品中多种成分的可能药理作用。